The science of data and its growing importance - An interdisciplinary field, data science deals with processes and systems, which are used to extract knowledge or insights from large amounts of data.
The extracted data can be structured or unstructured. Data science is a continuation of data analysis fields, such as data mining, statistics, predictive analysis.
A vast field, data science uses many theories and techniques that are part of other fields such as information science, mathematics, statistics, chemometrics and computer science.
Some of the methods used in data science include probability models, machine learning, signal processing, data mining, statistical learning, database, data engineering, visualization, pattern recognition and learning, modeling uncertainty, among others.
With the advances of so much data, many aspects of data science are gaining great importance, especially big data.
Data science is not restricted to the big date, which in itself is a big field, because big data solutions are more focused on the organization and pre-processing of the data, instead of analyzing the data.
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